Abstract
In this paper, we are dealing with Home Energy Management System (HEMS) using Bacterial Foraging Optimization (BFO) and Pigeon Inspired Optimization (PIO) techniques in a single home. Performance of Both techniques is evaluated through simulations in term of reduction in electricity cost, Peak to Average Ratio (PAR) by scheduling smart appliances. We have used Critical Peak Pricing (CPP) as a pricing signal and we have gained electricity cost reduction upto 40%.
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Batool, S. et al. (2018). Pigeon Inspired Optimization and Bacterial Foraging Optimization for Home Energy Management. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_2
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DOI: https://doi.org/10.1007/978-3-319-69811-3_2
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